Trends in student behavior in online courses

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Abstract

    Learning management systems provide an easy and effective means of access to learning materials. Students’ access to course material is logged and the amount of interaction is assumed to be a measure of student engagement within the course. In previous research, typically frequencies of student activities have been used, but this disregards any temporal information. Here, we analyze the amount of student activity over time during courses. Based on activity data over 11 online courses, we cluster students who show similar behavior over time. This results in three different groups: a large group of students who are mostly inactive; another group of students who are very active throughout the course; and a group of students who start out being active, but their activity diminishes throughout the course. These groups of students show different performance. Overall, more active students yield better results. In addition to these general trends, we identified courses in which alternative trends can be found, such as a group of students who become more active during the course. This shows that student behavior is more complex than can be identified from an individual course and more research into patterns of learning activities in multiple courses is essential.

    Conference

    Conference3rd International Conference on Higher Education Advances
    Abbreviated titleHEAd'17
    CountrySpain
    CityValencia
    Period21/06/1723/06/17
    Internet address

    Fingerprint

    trend
    student
    Group
    learning
    interaction
    management
    performance

    Cite this

    Conijn, R., & van Zaanen, M. (2017). Trends in student behavior in online courses. In Proceedings of the 3rd International Conference on Higher Education Advances (pp. 649-657)
    Conijn, Rianne ; van Zaanen, Menno. / Trends in student behavior in online courses. Proceedings of the 3rd International Conference on Higher Education Advances. 2017. pp. 649-657
    @inproceedings{4f5bfba1446842f3b9487f2ccb866a22,
    title = "Trends in student behavior in online courses",
    abstract = "Learning management systems provide an easy and effective means of access to learning materials. Students’ access to course material is logged and the amount of interaction is assumed to be a measure of student engagement within the course. In previous research, typically frequencies of student activities have been used, but this disregards any temporal information. Here, we analyze the amount of student activity over time during courses. Based on activity data over 11 online courses, we cluster students who show similar behavior over time. This results in three different groups: a large group of students who are mostly inactive; another group of students who are very active throughout the course; and a group of students who start out being active, but their activity diminishes throughout the course. These groups of students show different performance. Overall, more active students yield better results. In addition to these general trends, we identified courses in which alternative trends can be found, such as a group of students who become more active during the course. This shows that student behavior is more complex than can be identified from an individual course and more research into patterns of learning activities in multiple courses is essential.",
    author = "Rianne Conijn and {van Zaanen}, Menno",
    year = "2017",
    month = "6",
    language = "English",
    pages = "649--657",
    booktitle = "Proceedings of the 3rd International Conference on Higher Education Advances",

    }

    Conijn, R & van Zaanen, M 2017, Trends in student behavior in online courses. in Proceedings of the 3rd International Conference on Higher Education Advances. pp. 649-657, 3rd International Conference on Higher Education Advances, Valencia, Spain, 21/06/17.

    Trends in student behavior in online courses. / Conijn, Rianne; van Zaanen, Menno.

    Proceedings of the 3rd International Conference on Higher Education Advances. 2017. p. 649-657.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    TY - GEN

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    AU - Conijn,Rianne

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    AB - Learning management systems provide an easy and effective means of access to learning materials. Students’ access to course material is logged and the amount of interaction is assumed to be a measure of student engagement within the course. In previous research, typically frequencies of student activities have been used, but this disregards any temporal information. Here, we analyze the amount of student activity over time during courses. Based on activity data over 11 online courses, we cluster students who show similar behavior over time. This results in three different groups: a large group of students who are mostly inactive; another group of students who are very active throughout the course; and a group of students who start out being active, but their activity diminishes throughout the course. These groups of students show different performance. Overall, more active students yield better results. In addition to these general trends, we identified courses in which alternative trends can be found, such as a group of students who become more active during the course. This shows that student behavior is more complex than can be identified from an individual course and more research into patterns of learning activities in multiple courses is essential.

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    Conijn R, van Zaanen M. Trends in student behavior in online courses. In Proceedings of the 3rd International Conference on Higher Education Advances. 2017. p. 649-657.